Simon Lacoste-Julien
Simon Lacoste-Julien
Associate Professor - Canada CIFAR AI Chair, University of Montreal / Mila
Verified email at iro.umontreal.ca - Homepage
Title
Cited by
Cited by
Year
SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives
A Defazio, F Bach, S Lacoste-Julien
NIPS 2014 - Advances in Neural Information Processing Systems 27, 1646-1654, 2014
11142014
DiscLDA: Discriminative learning for dimensionality reduction and classification
S Lacoste-Julien, F Sha, MI Jordan
NIPS 2008 - Advances in Neural Information Processing Systems 21, 2008
4572008
A Closer Look at Memorization in Deep Networks
D Arpit, S Jastrzębski, N Ballas, D Krueger, E Bengio, MS Kanwal, ...
ICML 2017 - Proceedings of the 34th International Conference on Machine Learning, 2017
3912017
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
S Lacoste-Julien, M Jaggi, M Schmidt, P Pletscher
ICML 2013 - Proceedings of the 30th International Conference on Machine …, 2013
3282013
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
S Lacoste-Julien, M Jaggi
NIPS 2015 - Advances in Neural Information Processing Systems 28, 2015
2512015
A discriminative matching approach to word alignment
B Taskar, S Lacoste-Julien, D Klein
EMNLP 2005 - Proceedings of the conference on Human Language Technology and …, 2005
2382005
A Simpler Approach to Obtaining an O(1/t) Convergence Rate for the Projected Stochastic Subgradient Method
S Lacoste-Julien, M Schmidt, F Bach
arXiv preprint arXiv:1212.2002, 2012
1422012
Unsupervised Learning from Narrated Instruction Videos
JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien
CVPR 2016 - Proceedings of the IEEE Conference on Computer Vision and …, 2016
1362016
Structured prediction, dual extragradient and Bregman projections
B Taskar, S Lacoste-Julien, MI Jordan
JMLR - Journal of Machine Learning Research 7, 1627-1653, 2006
1352006
SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases
S Lacoste-Julien, K Palla, A Davies, G Kasneci, T Graepel, Z Ghahramani
KDD 2013 - Proceedings of the 19th ACM SIGKDD international conference on …, 2013
1282013
On Pairwise Costs for Network Flow Multi-Object Tracking
V Chari, S Lacoste-Julien, I Laptev, J Sivic
CVPR 2015 - Proceedings of the IEEE Conference on Computer Vision and …, 2015
1272015
On the Equivalence between Herding and Conditional Gradient Algorithms
F Bach, S Lacoste-Julien, G Obozinski
ICML 2012 - Proceedings of the 29th International Conference on Machine Learning, 2012
1072012
Word alignment via quadratic assignment
S Lacoste-Julien, B Taskar, D Klein, MI Jordan
HLT-NAACL - Proceedings of the main conference on Human Language Technology …, 2006
972006
A Variational Inequality Perspective on Generative Adversarial Nets
G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien
ICLR 2019 - Seventh International Conference on Learning Representations, 2019
96*2019
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
S Lacoste-Julien
arXiv preprint arXiv:1607.00345, 2016
952016
Asaga: Asynchronous Parallel Saga
R Leblond, F Pedregosa, S Lacoste-Julien
AISTATS 2017 -- Proceedings of the 20th International Conference on …, 2017
862017
Variance Reduced Stochastic Gradient Descent with Neighbors
T Hofmann, A Lucchi, S Lacoste-Julien, B McWilliams
NIPS 2015 - Advances in Neural Information Processing Systems 28, 2015
772015
PAC-Bayesian Theory Meets Bayesian Inference
P Germain, F Bach, A Lacoste, S Lacoste-Julien
NIPS 2016 - Advances in Neural Information Processing Systems 29, 2016
682016
Structured prediction via the extragradient method
B Taskar, S Lacoste-Julien, MI Jordan
NIPS 2005 - Advances in Neural Information Processing Systems 18, 1345-1352, 2005
682005
An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms
S Lacoste-Julien, M Jaggi
arXiv preprint arXiv:1312.7864, 2013
622013
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